Finding phonemes: improving machine lip-reading

Bear, Helen L., Harvey, Richard ORCID: and Lan, Yuxuan (2015) Finding phonemes: improving machine lip-reading. In: FAAVSP - The 1st Joint Conference on Facial Analysis, Animation and Auditory-Visual Speech Processing, 2015-09-11 - 2015-09-13, Austria.

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In machine lip-reading there is continued debate and research around the correct classes to be used for recognition. In this paper we use a structured approach for devising speaker-dependent viseme classes, which enables the creation of a set of phoneme-to-viseme maps where each has a different quantity of visemes ranging from two to 45. Viseme classes are based upon the mapping of articulated phonemes, which have been confused during phoneme recognition, into viseme groups. Using these maps, with the LiLIR dataset, we show the effect of changing the viseme map size in speaker-dependent machine lip-reading, measured by word recognition correctness and so demonstrate that word recognition with phoneme classifiers is not just possible, but often better than word recognition with viseme classifiers. Furthermore, there are intermediate units between visemes and phonemes which are better still.

Item Type: Conference or Workshop Item (Paper)
Faculty \ School: Faculty of Science
Faculty of Science > School of Computing Sciences
UEA Research Groups: Faculty of Science > Research Groups > Interactive Graphics and Audio
Faculty of Science > Research Groups > Smart Emerging Technologies
Depositing User: Pure Connector
Date Deposited: 25 Jul 2015 06:50
Last Modified: 20 Jun 2023 14:36

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